Statistical Sciences 1024A/B Chapter Notes - Chapter 8: Statistical Inference, Systematic Sampling, Cluster Sampling
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Population entire group of individuals that a researcher wants to know information about: ex: ceos. Parameter characteristics about a population: ex: m/hour. Variable a characteristic measured or recorded on each individual of the population: ex: salary. Sample part of the population is selected; where data is actually selected: only part of the sample if information is obtained on these people, consists of individuals or units. Data summary data is graphed and means are computed. Statistical inference conclusions are made about a population based on information gained through the sample. Census information on all people (too expensive) Bias if a study systematically favours outcomes. Simple random sampling (srs) randomly picked sample from a population so everybody has an equal chance of being chosen. How to use a random digit table: random digit table is already made, choose a line (ex: 122, give each person a label of the same length (ex: 2 digits long or 3 digits long)